Overview

Brought to you by YData

Dataset statistics

Number of variables28
Number of observations4945
Missing cells153
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory509.0 B

Variable types

Text1
Numeric26
Categorical1

Alerts

parsable_nonempty has constant value "1" Constant
articulation_ratio is highly overall correlated with notes_density and 1 other fieldsHigh correlation
empty_beat_rate is highly overall correlated with empty_measure_rateHigh correlation
empty_measure_rate is highly overall correlated with empty_beat_rateHigh correlation
groove_consistency is highly overall correlated with offgrid_rate_16High correlation
length_measures is highly overall correlated with tempo_mean_bpmHigh correlation
n_pitch_classes_used is highly overall correlated with n_pitches_used and 3 other fieldsHigh correlation
n_pitches_used is highly overall correlated with n_pitch_classes_used and 4 other fieldsHigh correlation
notes_density is highly overall correlated with articulation_ratio and 1 other fieldsHigh correlation
offgrid_rate_16 is highly overall correlated with groove_consistencyHigh correlation
onset_density_var_meas is highly overall correlated with notes_densityHigh correlation
pitch_class_entropy is highly overall correlated with n_pitch_classes_used and 3 other fieldsHigh correlation
pitch_entropy is highly overall correlated with n_pitch_classes_used and 3 other fieldsHigh correlation
pitch_range is highly overall correlated with n_pitches_usedHigh correlation
polyphony is highly overall correlated with polyphony_rateHigh correlation
polyphony_rate is highly overall correlated with articulation_ratio and 1 other fieldsHigh correlation
scale_consistency is highly overall correlated with n_pitch_classes_used and 3 other fieldsHigh correlation
tempo_changes is highly overall correlated with tempo_std_bpmHigh correlation
tempo_mean_bpm is highly overall correlated with length_measuresHigh correlation
tempo_std_bpm is highly overall correlated with tempo_changesHigh correlation
velocity_p95_minus_p5 is highly overall correlated with velocity_stdHigh correlation
velocity_std is highly overall correlated with velocity_p95_minus_p5High correlation
same_pitch_overlap_count is highly skewed (γ1 = 20.06711462) Skewed
time_signature_changes is highly skewed (γ1 = 30.0626527) Skewed
tempo_changes is highly skewed (γ1 = 20.81949916) Skewed
path has unique values Unique
empty_beat_rate has 1134 (22.9%) zeros Zeros
empty_measure_rate has 1949 (39.4%) zeros Zeros
same_pitch_overlap_count has 2786 (56.3%) zeros Zeros
time_signature_changes has 4220 (85.3%) zeros Zeros
tempo_std_bpm has 3395 (68.7%) zeros Zeros
tempo_changes has 3395 (68.7%) zeros Zeros
offgrid_rate_16 has 404 (8.2%) zeros Zeros
velocity_std has 265 (5.4%) zeros Zeros
velocity_p95_minus_p5 has 409 (8.3%) zeros Zeros
drum_note_ratio has 622 (12.6%) zeros Zeros

Reproduction

Analysis started2025-09-20 20:03:13.764163
Analysis finished2025-09-20 20:04:19.331350
Duration1 minute and 5.57 seconds
Software versionydata-profiling v4.16.1
Download configurationconfig.json

Variables

path
Text

Unique 

Distinct4945
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
2025-09-20T22:04:19.540065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length78
Median length78
Mean length78
Min length78

Characters and Unicode

Total characters385710
Distinct characters50
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4945 ?
Unique (%)100.0%

Sample

1st rowdata\lmd_matched\L\Z\W\TRLZWCX128F145AA1D\ab7ab1af34eee345a1b10cc05511aade.mid
2nd rowdata\lmd_matched\Z\E\Z\TRZEZJQ128F148A16C\126e07424cdd7d80897d53025c69d50e.mid
3rd rowdata\lmd_matched\C\Z\R\TRCZRSP12903D000ED\9d67f17e1edb1cf6632a3ad237b54fc3.mid
4th rowdata\lmd_matched\W\H\C\TRWHCTE128F92F9098\944ffadab173149ac284c43280b5c7f9.mid
5th rowdata\lmd_matched\S\F\S\TRSFSEN12903CB466B\b1c29d073fc61775668e4b08969450f1.mid
ValueCountFrequency (%)
data\lmd_matched\l\z\w\trlzwcx128f145aa1d\ab7ab1af34eee345a1b10cc05511aade.mid 1
 
< 0.1%
data\lmd_matched\n\d\c\trndcha128f149c1e3\2c77d351ced6bce2fea61eb5596b3084.mid 1
 
< 0.1%
data\lmd_matched\c\z\r\trczrsp12903d000ed\9d67f17e1edb1cf6632a3ad237b54fc3.mid 1
 
< 0.1%
data\lmd_matched\w\h\c\trwhcte128f92f9098\944ffadab173149ac284c43280b5c7f9.mid 1
 
< 0.1%
data\lmd_matched\s\f\s\trsfsen12903cb466b\b1c29d073fc61775668e4b08969450f1.mid 1
 
< 0.1%
data\lmd_matched\a\d\n\tradnfj128f92ffa5a\2bdf04253e981eb1a30b9df7beec30e1.mid 1
 
< 0.1%
data\lmd_matched\j\m\u\trjmufe128f4271ba7\9995e2c208cd5d8b8c5bba658bc197bf.mid 1
 
< 0.1%
data\lmd_matched\u\k\e\trukeiz128ef34b6c4\26e82b06f7d58898ae263f4c9f333e00.mid 1
 
< 0.1%
data\lmd_matched\p\h\b\trphbms128ef351f1e\514ddc3d4b33205be7d8ec149fdc1e32.mid 1
 
< 0.1%
data\lmd_matched\v\y\t\trvytrv128f9341c05\5c5ff78ce1a06c4837b22c181efef718.mid 1
 
< 0.1%
Other values (4935) 4935
99.8%
2025-09-20T22:04:19.875666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d 29738
 
7.7%
\ 29670
 
7.7%
a 24870
 
6.4%
2 19005
 
4.9%
1 16761
 
4.3%
8 15883
 
4.1%
e 14911
 
3.9%
m 14835
 
3.8%
c 14740
 
3.8%
9 13921
 
3.6%
Other values (40) 191376
49.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 385710
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
d 29738
 
7.7%
\ 29670
 
7.7%
a 24870
 
6.4%
2 19005
 
4.9%
1 16761
 
4.3%
8 15883
 
4.1%
e 14911
 
3.9%
m 14835
 
3.8%
c 14740
 
3.8%
9 13921
 
3.6%
Other values (40) 191376
49.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 385710
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
d 29738
 
7.7%
\ 29670
 
7.7%
a 24870
 
6.4%
2 19005
 
4.9%
1 16761
 
4.3%
8 15883
 
4.1%
e 14911
 
3.9%
m 14835
 
3.8%
c 14740
 
3.8%
9 13921
 
3.6%
Other values (40) 191376
49.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 385710
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
d 29738
 
7.7%
\ 29670
 
7.7%
a 24870
 
6.4%
2 19005
 
4.9%
1 16761
 
4.3%
8 15883
 
4.1%
e 14911
 
3.9%
m 14835
 
3.8%
c 14740
 
3.8%
9 13921
 
3.6%
Other values (40) 191376
49.6%

polyphony
Real number (ℝ)

High correlation 

Distinct4202
Distinct (%)85.3%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean5.1539283
Minimum1
Maximum11.454507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:19.997289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4600985
Q14.018577
median5.2057215
Q36.2553417
95-th percentile7.7421581
Maximum11.454507
Range10.454507
Interquartile range (IQR)2.2367647

Descriptive statistics

Standard deviation1.5911194
Coefficient of variation (CV)0.30871975
Kurtosis-0.27464103
Mean5.1539283
Median Absolute Deviation (MAD)1.1113478
Skewness-0.040155722
Sum25388.251
Variance2.5316611
MonotonicityNot monotonic
2025-09-20T22:04:20.120896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.231466732 9
 
0.2%
6.742997691 6
 
0.1%
4.817798236 6
 
0.1%
2.150053735 6
 
0.1%
1 6
 
0.1%
2.397460019 6
 
0.1%
5.548766864 6
 
0.1%
4.607082481 6
 
0.1%
3.582825203 6
 
0.1%
6.723824632 6
 
0.1%
Other values (4192) 4863
98.3%
(Missing) 19
 
0.4%
ValueCountFrequency (%)
1 6
0.1%
1.018203883 1
 
< 0.1%
1.080069626 1
 
< 0.1%
1.095950704 1
 
< 0.1%
1.130612245 1
 
< 0.1%
1.142806956 1
 
< 0.1%
1.167844523 3
0.1%
1.177572707 1
 
< 0.1%
1.178191489 3
0.1%
1.202492212 1
 
< 0.1%
ValueCountFrequency (%)
11.45450692 1
< 0.1%
10.18793411 1
< 0.1%
9.936640893 1
< 0.1%
9.933340006 1
< 0.1%
9.89449619 1
< 0.1%
9.790008276 1
< 0.1%
9.779057018 1
< 0.1%
9.691302485 1
< 0.1%
9.685951577 1
< 0.1%
9.614814815 1
< 0.1%

polyphony_rate
Real number (ℝ)

High correlation 

Distinct4097
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.80608004
Minimum0
Maximum1
Zeros47
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:20.244798image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.33026889
Q10.73684211
median0.89170801
Q30.95433953
95-th percentile0.98410609
Maximum1
Range1
Interquartile range (IQR)0.21749743

Descriptive statistics

Standard deviation0.21441643
Coefficient of variation (CV)0.26599893
Kurtosis2.9853069
Mean0.80608004
Median Absolute Deviation (MAD)0.078581028
Skewness-1.7938494
Sum3986.0658
Variance0.045974406
MonotonicityNot monotonic
2025-09-20T22:04:20.381783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
1.0%
1 24
 
0.5%
0.9752184844 8
 
0.2%
0.2392247906 6
 
0.1%
0.9800754717 6
 
0.1%
0.975 6
 
0.1%
0.7407564811 6
 
0.1%
0.9910848348 6
 
0.1%
0.7679640719 6
 
0.1%
0.720421459 6
 
0.1%
Other values (4087) 4824
97.6%
ValueCountFrequency (%)
0 47
1.0%
0.001275510204 1
 
< 0.1%
0.001283697047 4
 
0.1%
0.004790419162 1
 
< 0.1%
0.006774361647 3
 
0.1%
0.01631853786 1
 
< 0.1%
0.01673640167 1
 
< 0.1%
0.01844532279 3
 
0.1%
0.02081081081 5
 
0.1%
0.02114910116 2
 
< 0.1%
ValueCountFrequency (%)
1 24
0.5%
0.9998647186 1
 
< 0.1%
0.999717833 1
 
< 0.1%
0.9995340602 3
 
0.1%
0.9993284083 1
 
< 0.1%
0.9992897727 1
 
< 0.1%
0.9990384615 2
 
< 0.1%
0.9990310078 1
 
< 0.1%
0.998895202 1
 
< 0.1%
0.9986977625 1
 
< 0.1%

notes_density
Real number (ℝ)

High correlation 

Distinct4221
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.323698
Minimum0.21305234
Maximum112.38816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:20.528743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.21305234
5-th percentile6.2695543
Q113.231031
median19.395173
Q327.674909
95-th percentile41.870514
Maximum112.38816
Range112.17511
Interquartile range (IQR)14.443877

Descriptive statistics

Standard deviation11.252525
Coefficient of variation (CV)0.52770048
Kurtosis2.8772222
Mean21.323698
Median Absolute Deviation (MAD)6.8491245
Skewness1.1720049
Sum105445.68
Variance126.61933
MonotonicityNot monotonic
2025-09-20T22:04:20.655366image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.84312981 9
 
0.2%
7.376893939 7
 
0.1%
11.14467763 6
 
0.1%
40.88805447 6
 
0.1%
34.47043284 6
 
0.1%
53.62451567 6
 
0.1%
15.51003269 6
 
0.1%
71.42599735 6
 
0.1%
37.37879203 6
 
0.1%
24.52025573 6
 
0.1%
Other values (4211) 4881
98.7%
ValueCountFrequency (%)
0.2130523396 1
< 0.1%
0.3762747669 1
< 0.1%
0.7707502233 1
< 0.1%
1.43479585 1
< 0.1%
1.445906603 1
< 0.1%
1.460630013 1
< 0.1%
1.962220851 1
< 0.1%
2.019476628 2
< 0.1%
2.269229476 1
< 0.1%
2.39066983 1
< 0.1%
ValueCountFrequency (%)
112.3881635 1
 
< 0.1%
87.21154639 2
 
< 0.1%
86.03020302 1
 
< 0.1%
85.53177691 2
 
< 0.1%
76.6040912 1
 
< 0.1%
73.67699115 1
 
< 0.1%
71.42599735 6
0.1%
68.89066519 1
 
< 0.1%
66.6740447 1
 
< 0.1%
66.54764993 1
 
< 0.1%

empty_beat_rate
Real number (ℝ)

High correlation  Zeros 

Distinct1663
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011742172
Minimum0
Maximum0.45758929
Zeros1134
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:20.777751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0028169014
median0.0096153846
Q30.015748031
95-th percentile0.030839801
Maximum0.45758929
Range0.45758929
Interquartile range (IQR)0.01293113

Descriptive statistics

Standard deviation0.016718829
Coefficient of variation (CV)1.4238276
Kurtosis234.64019
Mean0.011742172
Median Absolute Deviation (MAD)0.0063208704
Skewness11.603604
Sum58.06504
Variance0.00027951923
MonotonicityNot monotonic
2025-09-20T22:04:20.912969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1134
 
22.9%
0.01719197708 19
 
0.4%
0.01754385965 16
 
0.3%
0.01403508772 16
 
0.3%
0.009685230024 15
 
0.3%
0.01365187713 14
 
0.3%
0.01346801347 14
 
0.3%
0.01016949153 14
 
0.3%
0.008385744235 14
 
0.3%
0.01052631579 13
 
0.3%
Other values (1653) 3676
74.3%
ValueCountFrequency (%)
0 1134
22.9%
0.001140250855 1
 
< 0.1%
0.001201923077 1
 
< 0.1%
0.001287001287 1
 
< 0.1%
0.001298701299 1
 
< 0.1%
0.001342281879 1
 
< 0.1%
0.001479289941 1
 
< 0.1%
0.001497005988 1
 
< 0.1%
0.001524390244 1
 
< 0.1%
0.001547987616 4
 
0.1%
ValueCountFrequency (%)
0.4575892857 1
< 0.1%
0.3766519824 1
< 0.1%
0.3684210526 1
< 0.1%
0.3238636364 1
< 0.1%
0.2520064205 1
< 0.1%
0.1993243243 1
< 0.1%
0.1897590361 1
< 0.1%
0.1891891892 1
< 0.1%
0.1571428571 1
< 0.1%
0.1370786517 2
< 0.1%

empty_measure_rate
Real number (ℝ)

High correlation  Zeros 

Distinct374
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0087154086
Minimum0
Maximum0.41964286
Zeros1949
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:21.037192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0076335878
Q30.0125
95-th percentile0.025
Maximum0.41964286
Range0.41964286
Interquartile range (IQR)0.0125

Descriptive statistics

Standard deviation0.015155451
Coefficient of variation (CV)1.7389261
Kurtosis295.532
Mean0.0087154086
Median Absolute Deviation (MAD)0.0076335878
Skewness13.505327
Sum43.097695
Variance0.0002296877
MonotonicityNot monotonic
2025-09-20T22:04:21.161894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1949
39.4%
0.01136363636 57
 
1.2%
0.01 43
 
0.9%
0.0101010101 41
 
0.8%
0.01149425287 40
 
0.8%
0.01388888889 39
 
0.8%
0.01162790698 34
 
0.7%
0.01612903226 32
 
0.6%
0.009523809524 32
 
0.6%
0.01351351351 32
 
0.6%
Other values (364) 2646
53.5%
ValueCountFrequency (%)
0 1949
39.4%
0.001545595054 1
 
< 0.1%
0.002105263158 1
 
< 0.1%
0.002247191011 1
 
< 0.1%
0.002985074627 1
 
< 0.1%
0.003278688525 1
 
< 0.1%
0.003367003367 1
 
< 0.1%
0.003424657534 2
 
< 0.1%
0.003472222222 3
 
0.1%
0.003484320557 1
 
< 0.1%
ValueCountFrequency (%)
0.4196428571 1
< 0.1%
0.3684210526 2
< 0.1%
0.3181818182 1
< 0.1%
0.2371794872 1
< 0.1%
0.1891891892 2
< 0.1%
0.1807228916 1
< 0.1%
0.125 2
< 0.1%
0.1111111111 1
< 0.1%
0.1 1
< 0.1%
0.09090909091 1
< 0.1%

groove_consistency
Real number (ℝ)

High correlation 

Distinct3869
Distinct (%)78.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9306825
Minimum0.52390588
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:21.285519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.52390588
5-th percentile0.82036565
Q10.90298034
median0.94469136
Q30.97392515
95-th percentile0.99227151
Maximum1
Range0.47609412
Interquartile range (IQR)0.070944808

Descriptive statistics

Standard deviation0.057552839
Coefficient of variation (CV)0.061839391
Kurtosis3.9388414
Mean0.9306825
Median Absolute Deviation (MAD)0.033398177
Skewness-1.6124738
Sum4601.2943
Variance0.0033123292
MonotonicityNot monotonic
2025-09-20T22:04:21.417104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9583333333 11
 
0.2%
0.9827898551 10
 
0.2%
0.9790455426 9
 
0.2%
0.9635416667 9
 
0.2%
0.9895833333 9
 
0.2%
0.9791666667 9
 
0.2%
0.9207375479 9
 
0.2%
0.9209183673 8
 
0.2%
0.9646464646 7
 
0.1%
0.9935897436 6
 
0.1%
Other values (3859) 4857
98.2%
ValueCountFrequency (%)
0.5239058753 2
< 0.1%
0.5420026882 1
< 0.1%
0.5974025974 1
< 0.1%
0.6124007937 1
< 0.1%
0.6385416667 1
< 0.1%
0.6490036232 1
< 0.1%
0.6495646766 1
< 0.1%
0.6536458333 1
< 0.1%
0.6550245098 1
< 0.1%
0.6621476716 1
< 0.1%
ValueCountFrequency (%)
1 6
0.1%
0.9996980676 1
 
< 0.1%
0.9990472561 1
 
< 0.1%
0.9990310078 1
 
< 0.1%
0.9989073427 1
 
< 0.1%
0.9987373737 1
 
< 0.1%
0.9987331081 2
 
< 0.1%
0.9987296748 2
 
< 0.1%
0.9986444064 1
 
< 0.1%
0.9985532407 2
 
< 0.1%

n_pitch_classes_used
Real number (ℝ)

High correlation 

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.286552
Minimum0
Maximum12
Zeros19
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:21.523233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q19
median11
Q312
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8349667
Coefficient of variation (CV)0.17838501
Kurtosis2.9399725
Mean10.286552
Median Absolute Deviation (MAD)1
Skewness-1.2726039
Sum50867
Variance3.3671027
MonotonicityNot monotonic
2025-09-20T22:04:21.627334image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12 1819
36.8%
11 871
17.6%
10 721
 
14.6%
9 633
 
12.8%
8 468
 
9.5%
7 361
 
7.3%
6 34
 
0.7%
0 19
 
0.4%
5 9
 
0.2%
4 4
 
0.1%
Other values (2) 6
 
0.1%
ValueCountFrequency (%)
0 19
 
0.4%
2 3
 
0.1%
3 3
 
0.1%
4 4
 
0.1%
5 9
 
0.2%
6 34
 
0.7%
7 361
7.3%
8 468
9.5%
9 633
12.8%
10 721
14.6%
ValueCountFrequency (%)
12 1819
36.8%
11 871
17.6%
10 721
 
14.6%
9 633
 
12.8%
8 468
 
9.5%
7 361
 
7.3%
6 34
 
0.7%
5 9
 
0.2%
4 4
 
0.1%
3 3
 
0.1%

n_pitches_used
Real number (ℝ)

High correlation 

Distinct87
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.716886
Minimum0
Maximum103
Zeros19
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:21.745034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q134
median42
Q351
95-th percentile64
Maximum103
Range103
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.927008
Coefficient of variation (CV)0.30262056
Kurtosis0.37703782
Mean42.716886
Median Absolute Deviation (MAD)8
Skewness0.040739948
Sum211235
Variance167.10753
MonotonicityNot monotonic
2025-09-20T22:04:21.874137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 182
 
3.7%
42 167
 
3.4%
37 165
 
3.3%
36 163
 
3.3%
44 162
 
3.3%
38 154
 
3.1%
34 153
 
3.1%
47 152
 
3.1%
41 150
 
3.0%
39 147
 
3.0%
Other values (77) 3350
67.7%
ValueCountFrequency (%)
0 19
0.4%
4 4
 
0.1%
5 2
 
< 0.1%
6 4
 
0.1%
7 5
 
0.1%
8 3
 
0.1%
9 8
0.2%
10 3
 
0.1%
11 8
0.2%
12 6
 
0.1%
ValueCountFrequency (%)
103 1
< 0.1%
92 1
< 0.1%
90 1
< 0.1%
88 2
< 0.1%
87 1
< 0.1%
86 1
< 0.1%
84 1
< 0.1%
82 2
< 0.1%
81 1
< 0.1%
80 1
< 0.1%

pitch_class_entropy
Real number (ℝ)

High correlation 

Distinct3950
Distinct (%)80.2%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean2.8390874
Minimum0.54799001
Maximum3.5628779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:21.998019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.54799001
5-th percentile2.3666386
Q12.6892156
median2.8263946
Q33.024897
95-th percentile3.339352
Maximum3.5628779
Range3.0148879
Interquartile range (IQR)0.3356815

Descriptive statistics

Standard deviation0.30649492
Coefficient of variation (CV)0.10795544
Kurtosis4.6810505
Mean2.8390874
Median Absolute Deviation (MAD)0.1607517
Skewness-1.0046749
Sum13985.344
Variance0.093939135
MonotonicityNot monotonic
2025-09-20T22:04:22.121187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.825989093 12
 
0.2%
2.891806771 9
 
0.2%
3.343185501 9
 
0.2%
1.840750661 8
 
0.2%
3.203576039 8
 
0.2%
2.819500023 7
 
0.1%
2.792782293 7
 
0.1%
2.961108044 7
 
0.1%
2.953328823 7
 
0.1%
3.050679979 6
 
0.1%
Other values (3940) 4846
98.0%
(Missing) 19
 
0.4%
ValueCountFrequency (%)
0.5479900081 3
0.1%
0.7191131381 1
 
< 0.1%
0.9992946633 1
 
< 0.1%
1.204698682 1
 
< 0.1%
1.231981781 1
 
< 0.1%
1.259866395 3
0.1%
1.296043382 2
< 0.1%
1.298929878 1
 
< 0.1%
1.316039102 1
 
< 0.1%
1.413237791 1
 
< 0.1%
ValueCountFrequency (%)
3.562877917 1
 
< 0.1%
3.55784278 1
 
< 0.1%
3.557317161 1
 
< 0.1%
3.545897023 1
 
< 0.1%
3.545054198 1
 
< 0.1%
3.532925935 1
 
< 0.1%
3.53272896 3
0.1%
3.531850937 2
< 0.1%
3.531729039 1
 
< 0.1%
3.527614819 1
 
< 0.1%

pitch_entropy
Real number (ℝ)

High correlation 

Distinct3979
Distinct (%)80.8%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean4.4609878
Minimum1.2990762
Maximum5.8726713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:22.251827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.2990762
5-th percentile3.6593246
Q14.1913856
median4.4975965
Q34.7742111
95-th percentile5.2005007
Maximum5.8726713
Range4.5735951
Interquartile range (IQR)0.58282547

Descriptive statistics

Standard deviation0.49911027
Coefficient of variation (CV)0.11188335
Kurtosis3.1970953
Mean4.4609878
Median Absolute Deviation (MAD)0.29080959
Skewness-0.949838
Sum21974.826
Variance0.24911107
MonotonicityNot monotonic
2025-09-20T22:04:22.373891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.730708394 12
 
0.2%
4.523774646 9
 
0.2%
5.389928833 9
 
0.2%
2.960755539 8
 
0.2%
4.903996962 8
 
0.2%
4.402698254 7
 
0.1%
4.486979113 7
 
0.1%
4.351893397 7
 
0.1%
4.503199212 7
 
0.1%
3.951041006 6
 
0.1%
Other values (3969) 4846
98.0%
(Missing) 19
 
0.4%
ValueCountFrequency (%)
1.299076203 3
0.1%
1.405086842 1
 
< 0.1%
1.778836317 1
 
< 0.1%
1.911616565 1
 
< 0.1%
1.933166728 1
 
< 0.1%
1.982265374 1
 
< 0.1%
2.042237129 1
 
< 0.1%
2.09506269 1
 
< 0.1%
2.103754068 1
 
< 0.1%
2.104197438 1
 
< 0.1%
ValueCountFrequency (%)
5.872671265 1
< 0.1%
5.811881812 1
< 0.1%
5.763840592 1
< 0.1%
5.757173469 1
< 0.1%
5.711512144 1
< 0.1%
5.697830999 1
< 0.1%
5.672092938 1
< 0.1%
5.662842869 2
< 0.1%
5.661891378 1
< 0.1%
5.656835703 1
< 0.1%

pitch_range
Real number (ℝ)

High correlation 

Distinct95
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.870172
Minimum-127
Maximum121
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)0.4%
Memory size38.8 KiB
2025-09-20T22:04:22.491555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-127
5-th percentile43
Q153
median60
Q367
95-th percentile79
Maximum121
Range248
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.415966
Coefficient of variation (CV)0.27419274
Kurtosis62.935849
Mean59.870172
Median Absolute Deviation (MAD)7
Skewness-5.5252855
Sum296058
Variance269.48395
MonotonicityNot monotonic
2025-09-20T22:04:22.618356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 330
 
6.7%
67 296
 
6.0%
62 291
 
5.9%
65 290
 
5.9%
55 275
 
5.6%
48 213
 
4.3%
58 212
 
4.3%
53 211
 
4.3%
57 207
 
4.2%
63 164
 
3.3%
Other values (85) 2456
49.7%
ValueCountFrequency (%)
-127 19
0.4%
7 2
 
< 0.1%
10 3
 
0.1%
12 2
 
< 0.1%
13 3
 
0.1%
14 2
 
< 0.1%
16 1
 
< 0.1%
18 1
 
< 0.1%
19 3
 
0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
121 1
 
< 0.1%
119 2
< 0.1%
115 2
< 0.1%
112 2
< 0.1%
104 1
 
< 0.1%
103 4
0.1%
102 4
0.1%
101 1
 
< 0.1%
100 3
0.1%
99 2
< 0.1%

scale_consistency
Real number (ℝ)

High correlation 

Distinct3609
Distinct (%)73.3%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.93732293
Minimum0.62334537
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:22.738111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.62334537
5-th percentile0.78374995
Q10.90739853
median0.96125908
Q30.98979731
95-th percentile1
Maximum1
Range0.37665463
Interquartile range (IQR)0.082398779

Descriptive statistics

Standard deviation0.069507867
Coefficient of variation (CV)0.07415573
Kurtosis2.2639434
Mean0.93732293
Median Absolute Deviation (MAD)0.03406912
Skewness-1.5696759
Sum4617.2528
Variance0.0048313435
MonotonicityNot monotonic
2025-09-20T22:04:22.869765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 380
 
7.7%
0.9946539947 12
 
0.2%
0.7940137186 9
 
0.2%
0.9643799472 9
 
0.2%
0.9971846847 8
 
0.2%
0.8656195462 8
 
0.2%
0.9792040158 7
 
0.1%
0.9357967667 7
 
0.1%
0.9661016949 7
 
0.1%
0.9720350404 7
 
0.1%
Other values (3599) 4472
90.4%
(Missing) 19
 
0.4%
ValueCountFrequency (%)
0.623345367 1
 
< 0.1%
0.6366055588 1
 
< 0.1%
0.6403256705 1
 
< 0.1%
0.6416 1
 
< 0.1%
0.6425046268 1
 
< 0.1%
0.6493644068 1
 
< 0.1%
0.6561514196 1
 
< 0.1%
0.6564833673 1
 
< 0.1%
0.6574525745 2
< 0.1%
0.6597270414 3
0.1%
ValueCountFrequency (%)
1 380
7.7%
0.9998946814 1
 
< 0.1%
0.9998738966 1
 
< 0.1%
0.9998514778 1
 
< 0.1%
0.9998372131 1
 
< 0.1%
0.999807136 1
 
< 0.1%
0.9998037291 1
 
< 0.1%
0.9997889405 1
 
< 0.1%
0.999783737 1
 
< 0.1%
0.9997814685 1
 
< 0.1%

same_pitch_overlap_count
Real number (ℝ)

Skewed  Zeros 

Distinct224
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.846309
Minimum0
Maximum4843
Zeros2786
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:23.006673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile69
Maximum4843
Range4843
Interquartile range (IQR)6

Descriptive statistics

Standard deviation150.21359
Coefficient of variation (CV)6.875925
Kurtosis503.25818
Mean21.846309
Median Absolute Deviation (MAD)0
Skewness20.067115
Sum108030
Variance22564.121
MonotonicityNot monotonic
2025-09-20T22:04:23.132540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2786
56.3%
1 276
 
5.6%
2 218
 
4.4%
3 163
 
3.3%
4 119
 
2.4%
6 100
 
2.0%
8 93
 
1.9%
5 74
 
1.5%
7 68
 
1.4%
10 56
 
1.1%
Other values (214) 992
 
20.1%
ValueCountFrequency (%)
0 2786
56.3%
1 276
 
5.6%
2 218
 
4.4%
3 163
 
3.3%
4 119
 
2.4%
5 74
 
1.5%
6 100
 
2.0%
7 68
 
1.4%
8 93
 
1.9%
9 51
 
1.0%
ValueCountFrequency (%)
4843 1
< 0.1%
3892 2
< 0.1%
3290 1
< 0.1%
3256 1
< 0.1%
2209 1
< 0.1%
2047 1
< 0.1%
1568 1
< 0.1%
1286 1
< 0.1%
1174 2
< 0.1%
1087 2
< 0.1%

time_signature_changes
Real number (ℝ)

Skewed  Zeros 

Distinct39
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82406471
Minimum0
Maximum275
Zeros4220
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:23.243374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum275
Range275
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.4011591
Coefficient of variation (CV)6.55429
Kurtosis1380.7438
Mean0.82406471
Median Absolute Deviation (MAD)0
Skewness30.062653
Sum4075
Variance29.172519
MonotonicityNot monotonic
2025-09-20T22:04:23.355985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 4220
85.3%
1 260
 
5.3%
2 163
 
3.3%
4 63
 
1.3%
6 46
 
0.9%
8 30
 
0.6%
3 22
 
0.4%
12 18
 
0.4%
10 17
 
0.3%
5 15
 
0.3%
Other values (29) 91
 
1.8%
ValueCountFrequency (%)
0 4220
85.3%
1 260
 
5.3%
2 163
 
3.3%
3 22
 
0.4%
4 63
 
1.3%
5 15
 
0.3%
6 46
 
0.9%
7 9
 
0.2%
8 30
 
0.6%
9 8
 
0.2%
ValueCountFrequency (%)
275 1
< 0.1%
83 1
< 0.1%
78 1
< 0.1%
68 1
< 0.1%
63 2
< 0.1%
54 1
< 0.1%
52 1
< 0.1%
42 1
< 0.1%
39 1
< 0.1%
38 1
< 0.1%

parsable_nonempty
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size280.2 KiB
1
4945 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4945
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4945
100.0%

Length

2025-09-20T22:04:23.464867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-09-20T22:04:23.543930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4945
100.0%

Most occurring characters

ValueCountFrequency (%)
1 4945
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4945
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 4945
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4945
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 4945
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4945
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 4945
100.0%

tempo_mean_bpm
Real number (ℝ)

High correlation 

Distinct1784
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.12983
Minimum22.5
Maximum322.89898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:24.714015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum22.5
5-th percentile59.204994
Q181.000081
median106.99994
Q3125.75003
95-th percentile158.00284
Maximum322.89898
Range300.39898
Interquartile range (IQR)44.749945

Descriptive statistics

Standard deviation32.201935
Coefficient of variation (CV)0.30342022
Kurtosis1.8923858
Mean106.12983
Median Absolute Deviation (MAD)21.000064
Skewness0.68852228
Sum524812
Variance1036.9646
MonotonicityNot monotonic
2025-09-20T22:04:24.840279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 339
 
6.9%
130.00013 87
 
1.8%
100 72
 
1.5%
125 70
 
1.4%
80 61
 
1.2%
140.00014 59
 
1.2%
135.000135 51
 
1.0%
128 51
 
1.0%
100 46
 
0.9%
116.0000851 39
 
0.8%
Other values (1774) 4070
82.3%
ValueCountFrequency (%)
22.5 1
< 0.1%
26.42857161 1
< 0.1%
28.88889214 1
< 0.1%
30 1
< 0.1%
31.92063333 2
< 0.1%
32 1
< 0.1%
33.2431628 2
< 0.1%
36.5405515 1
< 0.1%
37.00001501 1
< 0.1%
37.3690233 1
< 0.1%
ValueCountFrequency (%)
322.8989795 1
< 0.1%
312.000124 1
< 0.1%
300 1
< 0.1%
273.624944 1
< 0.1%
254.000508 1
< 0.1%
250 2
< 0.1%
245.0009596 1
< 0.1%
244.3139203 1
< 0.1%
241.8459167 1
< 0.1%
235.1668634 2
< 0.1%

tempo_std_bpm
Real number (ℝ)

High correlation  Zeros 

Distinct1294
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6572603
Minimum0
Maximum199.02585
Zeros3395
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:24.974736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5000235
95-th percentile24.982632
Maximum199.02585
Range199.02585
Interquartile range (IQR)4.5000235

Descriptive statistics

Standard deviation11.184775
Coefficient of variation (CV)2.4015782
Kurtosis54.141014
Mean4.6572603
Median Absolute Deviation (MAD)0
Skewness5.3205017
Sum23030.152
Variance125.09919
MonotonicityNot monotonic
2025-09-20T22:04:25.118544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3395
68.7%
4.955799737 11
 
0.2%
2.054821618 9
 
0.2%
15.00000229 9
 
0.2%
5.04702893 7
 
0.1%
2.357022604 5
 
0.1%
9.428086645 5
 
0.1%
1.60063375 5
 
0.1%
0.5050649293 5
 
0.1%
7.923091009 4
 
0.1%
Other values (1284) 1490
30.1%
ValueCountFrequency (%)
0 3395
68.7%
0.0004525465298 1
 
< 0.1%
0.002093420416 1
 
< 0.1%
0.03505475556 2
 
< 0.1%
0.1959323616 1
 
< 0.1%
0.4969109682 1
 
< 0.1%
0.4969210057 1
 
< 0.1%
0.4996434369 1
 
< 0.1%
0.4999186653 2
 
< 0.1%
0.4999500583 1
 
< 0.1%
ValueCountFrequency (%)
199.0258499 1
< 0.1%
187.999876 1
< 0.1%
174.9772345 1
< 0.1%
106.3020766 1
< 0.1%
93.33808926 1
< 0.1%
90.49999137 1
< 0.1%
88.00013373 1
< 0.1%
85.99982468 1
< 0.1%
77.40702466 1
< 0.1%
73.9999745 1
< 0.1%

tempo_changes
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct165
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.419414
Minimum0
Maximum3540
Zeros3395
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:25.249938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile39
Maximum3540
Range3540
Interquartile range (IQR)2

Descriptive statistics

Standard deviation94.063946
Coefficient of variation (CV)7.5739443
Kurtosis589.93392
Mean12.419414
Median Absolute Deviation (MAD)0
Skewness20.819499
Sum61414
Variance8848.0259
MonotonicityNot monotonic
2025-09-20T22:04:25.377239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3395
68.7%
1 285
 
5.8%
2 162
 
3.3%
4 95
 
1.9%
3 94
 
1.9%
5 79
 
1.6%
6 66
 
1.3%
7 56
 
1.1%
10 32
 
0.6%
8 31
 
0.6%
Other values (155) 650
 
13.1%
ValueCountFrequency (%)
0 3395
68.7%
1 285
 
5.8%
2 162
 
3.3%
3 94
 
1.9%
4 95
 
1.9%
5 79
 
1.6%
6 66
 
1.3%
7 56
 
1.1%
8 31
 
0.6%
9 26
 
0.5%
ValueCountFrequency (%)
3540 1
< 0.1%
2526 1
< 0.1%
1918 1
< 0.1%
1641 1
< 0.1%
1344 1
< 0.1%
1298 1
< 0.1%
1134 1
< 0.1%
1035 1
< 0.1%
1016 1
< 0.1%
906 1
< 0.1%

offgrid_rate_16
Real number (ℝ)

High correlation  Zeros 

Distinct3844
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21828436
Minimum0
Maximum1
Zeros404
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:25.511089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.024376883
median0.1223697
Q30.33315593
95-th percentile0.79762747
Maximum1
Range1
Interquartile range (IQR)0.30877905

Descriptive statistics

Standard deviation0.24695052
Coefficient of variation (CV)1.1313248
Kurtosis0.91546682
Mean0.21828436
Median Absolute Deviation (MAD)0.11376755
Skewness1.3293108
Sum1079.4162
Variance0.060984558
MonotonicityNot monotonic
2025-09-20T22:04:25.647502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 404
 
8.2%
0.1683207622 9
 
0.2%
0.1043133803 8
 
0.2%
0.7670157068 8
 
0.2%
0.2147755986 6
 
0.1%
0.01475346189 6
 
0.1%
0.07392739274 6
 
0.1%
0.008977416187 6
 
0.1%
0.008718074656 6
 
0.1%
0.4852013586 6
 
0.1%
Other values (3834) 4480
90.6%
ValueCountFrequency (%)
0 404
8.2%
0.0001257229067 1
 
< 0.1%
0.0001374570447 1
 
< 0.1%
0.0001497454328 1
 
< 0.1%
0.0001639613051 1
 
< 0.1%
0.0001840264998 1
 
< 0.1%
0.000187090739 1
 
< 0.1%
0.0001920122888 3
 
0.1%
0.0002118644068 1
 
< 0.1%
0.0002289377289 1
 
< 0.1%
ValueCountFrequency (%)
1 5
0.1%
0.9995586937 2
 
< 0.1%
0.9993490996 1
 
< 0.1%
0.9993211134 1
 
< 0.1%
0.999019127 1
 
< 0.1%
0.9989354624 1
 
< 0.1%
0.9987957611 1
 
< 0.1%
0.9986842105 1
 
< 0.1%
0.9982948086 1
 
< 0.1%
0.9980620155 1
 
< 0.1%

onset_density_var_meas
Real number (ℝ)

High correlation 

Distinct4136
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean373.5279
Minimum0
Maximum7787.9118
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:25.773643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.541942
Q1109.77862
median233.61728
Q3466.93519
95-th percentile1152.8471
Maximum7787.9118
Range7787.9118
Interquartile range (IQR)357.15657

Descriptive statistics

Standard deviation463.59453
Coefficient of variation (CV)1.2411242
Kurtosis36.564701
Mean373.5279
Median Absolute Deviation (MAD)151.62654
Skewness4.3949598
Sum1847095.5
Variance214919.89
MonotonicityNot monotonic
2025-09-20T22:04:25.910362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343.9132231 10
 
0.2%
13.09061224 8
 
0.2%
75.19640853 8
 
0.2%
1190.792067 8
 
0.2%
1105.597594 7
 
0.1%
26.07151096 7
 
0.1%
55.35353085 7
 
0.1%
879.3785204 6
 
0.1%
191.5149872 6
 
0.1%
265.3443787 6
 
0.1%
Other values (4126) 4872
98.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
1.1875 1
 
< 0.1%
1.707927932 1
 
< 0.1%
1.716446125 1
 
< 0.1%
1.9375 1
 
< 0.1%
2.031354333 1
 
< 0.1%
2.061728395 1
 
< 0.1%
2.285441606 2
< 0.1%
2.300913315 1
 
< 0.1%
2.38519468 3
0.1%
ValueCountFrequency (%)
7787.911834 1
< 0.1%
6860.022853 1
< 0.1%
5684.814209 1
< 0.1%
4236.809917 1
< 0.1%
4148.403978 1
< 0.1%
4093.029179 1
< 0.1%
3990.1779 1
< 0.1%
3990.1179 1
< 0.1%
3891.410482 1
< 0.1%
3766.26595 1
< 0.1%

velocity_mean
Real number (ℝ)

Distinct3836
Distinct (%)77.9%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean89.19716
Minimum25.67561
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:26.059306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum25.67561
5-th percentile62.065728
Q178.369674
median89.053041
Q3100
95-th percentile118.96529
Maximum127
Range101.32439
Interquartile range (IQR)21.630326

Descriptive statistics

Standard deviation16.828664
Coefficient of variation (CV)0.18866816
Kurtosis0.10418538
Mean89.19716
Median Absolute Deviation (MAD)10.946096
Skewness-0.040096292
Sum439385.21
Variance283.20395
MonotonicityNot monotonic
2025-09-20T22:04:26.189054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127 80
 
1.6%
100 74
 
1.5%
64 21
 
0.4%
80 20
 
0.4%
110 18
 
0.4%
90 13
 
0.3%
95 10
 
0.2%
117.5867803 8
 
0.2%
92.78566066 8
 
0.2%
73.34707781 7
 
0.1%
Other values (3826) 4667
94.4%
(Missing) 19
 
0.4%
ValueCountFrequency (%)
25.67560976 1
 
< 0.1%
29.72132849 1
 
< 0.1%
33.08042489 1
 
< 0.1%
34.16447368 3
0.1%
36.33039389 1
 
< 0.1%
36.346651 1
 
< 0.1%
36.40262582 1
 
< 0.1%
37.28981723 3
0.1%
38.51096491 1
 
< 0.1%
39.13187773 2
< 0.1%
ValueCountFrequency (%)
127 80
1.6%
126.9994318 1
 
< 0.1%
126.9993844 3
 
0.1%
126.9978614 1
 
< 0.1%
126.99447 1
 
< 0.1%
126.9658003 1
 
< 0.1%
126.9446883 1
 
< 0.1%
126.9144385 1
 
< 0.1%
126.8796875 2
 
< 0.1%
126.8505296 1
 
< 0.1%

velocity_std
Real number (ℝ)

High correlation  Zeros 

Distinct3977
Distinct (%)80.7%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean15.978583
Minimum0
Maximum45.56935
Zeros265
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:26.310007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.928353
median16.466853
Q320.743468
95-th percentile27.706618
Maximum45.56935
Range45.56935
Interquartile range (IQR)8.8151151

Descriptive statistics

Standard deviation7.5266382
Coefficient of variation (CV)0.47104542
Kurtosis0.13255461
Mean15.978583
Median Absolute Deviation (MAD)4.3789169
Skewness-0.19592073
Sum78710.498
Variance56.650282
MonotonicityNot monotonic
2025-09-20T22:04:26.433609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 265
 
5.4%
7.851678694 8
 
0.2%
24.9117633 7
 
0.1%
12.15915728 6
 
0.1%
15.94021431 6
 
0.1%
18.61363375 6
 
0.1%
12.83890534 6
 
0.1%
13.47134686 6
 
0.1%
20.35218674 5
 
0.1%
9.508898339 5
 
0.1%
Other values (3967) 4606
93.1%
(Missing) 19
 
0.4%
ValueCountFrequency (%)
0 265
5.4%
0.03370520443 1
 
< 0.1%
0.03508231911 3
 
0.1%
0.04181203638 1
 
< 0.1%
0.06611330926 1
 
< 0.1%
0.06624211744 1
 
< 0.1%
0.1033843624 1
 
< 0.1%
0.1687239944 1
 
< 0.1%
0.2230224313 1
 
< 0.1%
0.2363183864 2
 
< 0.1%
ValueCountFrequency (%)
45.56934998 1
 
< 0.1%
41.28393995 1
 
< 0.1%
39.81364347 1
 
< 0.1%
39.2480988 1
 
< 0.1%
39.24509782 1
 
< 0.1%
39.206857 1
 
< 0.1%
39.01001935 1
 
< 0.1%
38.79308951 1
 
< 0.1%
38.67004097 1
 
< 0.1%
38.40861764 3
0.1%

velocity_p95_minus_p5
Real number (ℝ)

High correlation  Zeros 

Distinct127
Distinct (%)2.6%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean49.330897
Minimum0
Maximum126
Zeros409
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:26.557133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135
median51
Q365
95-th percentile88
Maximum126
Range126
Interquartile range (IQR)30

Descriptive statistics

Standard deviation25.320422
Coefficient of variation (CV)0.51327715
Kurtosis0.23267324
Mean49.330897
Median Absolute Deviation (MAD)15
Skewness-0.056631687
Sum243004
Variance641.12378
MonotonicityNot monotonic
2025-09-20T22:04:26.687237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 409
 
8.3%
56 122
 
2.5%
53 115
 
2.3%
51 107
 
2.2%
47 107
 
2.2%
50 105
 
2.1%
57 103
 
2.1%
60 94
 
1.9%
54 94
 
1.9%
48 94
 
1.9%
Other values (117) 3576
72.3%
ValueCountFrequency (%)
0 409
8.3%
1 19
 
0.4%
2 7
 
0.1%
3 8
 
0.2%
4 1
 
< 0.1%
5 11
 
0.2%
6 14
 
0.3%
7 2
 
< 0.1%
8 8
 
0.2%
9 8
 
0.2%
ValueCountFrequency (%)
126 14
0.3%
125 5
 
0.1%
124 1
 
< 0.1%
123 1
 
< 0.1%
122 4
 
0.1%
121 8
0.2%
120 3
 
0.1%
119 6
0.1%
118 2
 
< 0.1%
117 8
0.2%

articulation_ratio
Real number (ℝ)

High correlation 

Distinct4235
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70169278
Minimum0.014586322
Maximum15.410088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:26.810332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.014586322
5-th percentile0.26600271
Q10.45314748
median0.64180912
Q30.87304945
95-th percentile1.3372376
Maximum15.410088
Range15.395501
Interquartile range (IQR)0.41990197

Descriptive statistics

Standard deviation0.41038058
Coefficient of variation (CV)0.58484366
Kurtosis336.38981
Mean0.70169278
Median Absolute Deviation (MAD)0.2030916
Skewness10.394386
Sum3469.8708
Variance0.16841222
MonotonicityNot monotonic
2025-09-20T22:04:26.939953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8469776995 6
 
0.1%
0.6817887757 6
 
0.1%
0.4776001898 6
 
0.1%
0.307666413 6
 
0.1%
0.3660409791 6
 
0.1%
0.9011416521 6
 
0.1%
0.4228317371 6
 
0.1%
0.3946501888 6
 
0.1%
0.9967910547 6
 
0.1%
0.111043909 6
 
0.1%
Other values (4225) 4885
98.8%
ValueCountFrequency (%)
0.01458632233 1
 
< 0.1%
0.01607445008 1
 
< 0.1%
0.02136866524 1
 
< 0.1%
0.02140541571 1
 
< 0.1%
0.09822093574 1
 
< 0.1%
0.09884320287 1
 
< 0.1%
0.1109492775 2
 
< 0.1%
0.111043909 6
0.1%
0.1183864574 1
 
< 0.1%
0.1249628497 1
 
< 0.1%
ValueCountFrequency (%)
15.41008772 1
< 0.1%
3.867873652 1
< 0.1%
3.648404576 1
< 0.1%
3.371246246 1
< 0.1%
3.298924344 1
< 0.1%
2.878151261 1
< 0.1%
2.864864865 2
< 0.1%
2.819968553 1
< 0.1%
2.694158076 1
< 0.1%
2.629053889 1
< 0.1%

drum_note_ratio
Real number (ℝ)

Zeros 

Distinct3472
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28938372
Minimum0
Maximum1
Zeros622
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:27.079728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.19476492
median0.29124324
Q30.39041816
95-th percentile0.57601467
Maximum1
Range1
Interquartile range (IQR)0.19565324

Descriptive statistics

Standard deviation0.17349633
Coefficient of variation (CV)0.59953728
Kurtosis0.7150874
Mean0.28938372
Median Absolute Deviation (MAD)0.097816849
Skewness0.30356194
Sum1431.0025
Variance0.030100976
MonotonicityNot monotonic
2025-09-20T22:04:27.211564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 622
 
12.6%
1 19
 
0.4%
0.2590228873 12
 
0.2%
0.3981738785 9
 
0.2%
0.2977485454 8
 
0.2%
0.4738817024 8
 
0.2%
0.3288412947 7
 
0.1%
0.1880168776 7
 
0.1%
0.2711198428 7
 
0.1%
0.2694805195 7
 
0.1%
Other values (3462) 4239
85.7%
ValueCountFrequency (%)
0 622
12.6%
0.0001509889778 1
 
< 0.1%
0.000254000508 1
 
< 0.1%
0.0006291946309 1
 
< 0.1%
0.0006696428571 1
 
< 0.1%
0.0007042253521 1
 
< 0.1%
0.001118255521 1
 
< 0.1%
0.001405481377 1
 
< 0.1%
0.001497005988 1
 
< 0.1%
0.001688713763 1
 
< 0.1%
ValueCountFrequency (%)
1 19
0.4%
0.8936344969 1
 
< 0.1%
0.8645343368 3
 
0.1%
0.8581632653 3
 
0.1%
0.8534482759 1
 
< 0.1%
0.8354037267 1
 
< 0.1%
0.8231271371 1
 
< 0.1%
0.8047337278 1
 
< 0.1%
0.775893261 2
 
< 0.1%
0.7715935619 1
 
< 0.1%

pitch_register_mean
Real number (ℝ)

Distinct3980
Distinct (%)80.8%
Missing19
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean59.32448
Minimum25.181159
Maximum89.240793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:27.333154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum25.181159
5-th percentile50.935355
Q156.940118
median59.578305
Q362.205129
95-th percentile66.227913
Maximum89.240793
Range64.059634
Interquartile range (IQR)5.2650118

Descriptive statistics

Standard deviation4.8759294
Coefficient of variation (CV)0.082190848
Kurtosis4.5222225
Mean59.32448
Median Absolute Deviation (MAD)2.6314999
Skewness-0.70379087
Sum292232.39
Variance23.774687
MonotonicityNot monotonic
2025-09-20T22:04:27.461514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.24561925 12
 
0.2%
66.29485488 9
 
0.2%
59.8632301 9
 
0.2%
54.7972973 8
 
0.2%
58.30802792 8
 
0.2%
62.35729652 7
 
0.1%
59.87568306 7
 
0.1%
58.8812933 7
 
0.1%
60.49174528 7
 
0.1%
62.9292697 6
 
0.1%
Other values (3970) 4846
98.0%
(Missing) 19
 
0.4%
ValueCountFrequency (%)
25.18115942 1
 
< 0.1%
28.60062893 1
 
< 0.1%
29.70886076 3
0.1%
30.63157895 1
 
< 0.1%
32.63976945 1
 
< 0.1%
33.00924499 1
 
< 0.1%
33.60571429 1
 
< 0.1%
34.50453172 1
 
< 0.1%
34.88580247 1
 
< 0.1%
34.9896861 1
 
< 0.1%
ValueCountFrequency (%)
89.2407932 1
< 0.1%
89.07169811 1
< 0.1%
84.64814815 1
< 0.1%
82.84615385 1
< 0.1%
78.89665428 1
< 0.1%
77.87550201 1
< 0.1%
77.64774381 1
< 0.1%
76.3972021 1
< 0.1%
76.24765064 1
< 0.1%
74.90724479 1
< 0.1%

length_measures
Real number (ℝ)

High correlation 

Distinct274
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.26168
Minimum1
Maximum898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.8 KiB
2025-09-20T22:04:27.592921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile43
Q174
median99
Q3127
95-th percentile184
Maximum898
Range897
Interquartile range (IQR)53

Descriptive statistics

Standard deviation50.789824
Coefficient of variation (CV)0.48251011
Kurtosis33.573789
Mean105.26168
Median Absolute Deviation (MAD)26
Skewness3.3969731
Sum520519
Variance2579.6063
MonotonicityNot monotonic
2025-09-20T22:04:27.711560image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 90
 
1.8%
99 78
 
1.6%
72 71
 
1.4%
100 70
 
1.4%
78 65
 
1.3%
86 60
 
1.2%
117 60
 
1.2%
87 60
 
1.2%
70 59
 
1.2%
83 56
 
1.1%
Other values (264) 4276
86.5%
ValueCountFrequency (%)
1 1
 
< 0.1%
11 1
 
< 0.1%
13 2
 
< 0.1%
14 4
 
0.1%
16 3
 
0.1%
17 15
0.3%
18 14
0.3%
19 7
0.1%
20 10
0.2%
21 3
 
0.1%
ValueCountFrequency (%)
898 1
< 0.1%
852 1
< 0.1%
676 1
< 0.1%
647 1
< 0.1%
571 1
< 0.1%
556 1
< 0.1%
489 1
< 0.1%
479 1
< 0.1%
475 1
< 0.1%
445 1
< 0.1%

Interactions

2025-09-20T22:04:16.275765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:14.549525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:16.766378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.467918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:21.683885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:23.859398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.563263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:28.785342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:31.039545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:33.852654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:36.168550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.348498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.575726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.693975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:46.029545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.385170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.685320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:53.910286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.376260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.700751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.328177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.571606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:05.827984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:09.125003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.576879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:13.918765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.357857image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:14.647039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:16.844383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.546924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:21.762400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:23.937407image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.644269image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:28.865944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:31.118721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:33.934007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:36.245558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.427017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.661572image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.775544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:46.122631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.467680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.773401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:53.996637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.464303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.788375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.414350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.653731image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:05.911628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:09.212286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.655967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:14.003843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.443444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:14.743041image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:16.926892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.628972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:21.843401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:24.017919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.726783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:28.952453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:31.201236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:34.028527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:36.329644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.510529image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.748579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.866657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:46.220387image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.553254image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.867608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:54.087209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.551512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.883984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.504009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.736960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:06.001629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:09.308378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.747099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:14.093448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.528044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:14.825139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:17.017165image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.711016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:21.924910image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:24.104428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.810885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:29.037460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:31.281748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:34.113040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:36.409160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.594607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.841094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.954272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:46.306979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.640338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.958689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:54.175844image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.637592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.982814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.588589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.821524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:06.088701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:09.399459image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.833645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:14.182020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.610126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:14.903666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:17.099677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.790525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:22.006425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:24.183944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.888402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:29.120979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:31.362261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:34.197555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:36.486672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.673124image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.933602image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:44.039330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:46.390636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.724422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:51.046084image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:54.261972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.722162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:59.076978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.668657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.902420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:06.174278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:09.487739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.916725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:14.265724image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.696262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:14.982176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:17.181187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.871037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:22.085936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:24.261454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.975913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:29.206478image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:31.445161image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:34.284065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:36.566816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.756634image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:41.724552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:44.124454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-09-20T22:03:40.232164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.336525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:45.662370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.010373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.332532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:53.538105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:55.993651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.335723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:00.932079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.224239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:05.477050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:08.755261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.200726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:13.555378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:15.907344image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:18.290670image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:16.519679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.215378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:21.431288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:23.603867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.310162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:28.530955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:30.778382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:33.602121image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:35.906015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.104431image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.325681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.433631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:45.758501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.110931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.428532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:53.640220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.093761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.437654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.034981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.316332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:05.572621image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:08.857850image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.300843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:13.653993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.007081image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:18.379231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:16.600354image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.298894image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:21.514801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:23.691382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.394235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:28.621321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:30.867028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:33.684635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:35.991524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.187462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.409187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.519284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:45.848367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.197948image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.514152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:53.729822image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.185898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.523730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.131063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.395360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:05.659307image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:08.945020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.390922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:13.741499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.095200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:18.468855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:16.685863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:19.386405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:21.603317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:23.777892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:26.482751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:28.706833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:30.955542image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:33.772148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:36.082039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:38.270490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:40.497699image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:43.609901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:45.941544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:48.303064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:50.604230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:53.823900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:56.283811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:03:58.612865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:01.231072image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:03.486971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:05.748868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:09.039830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:11.488015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:13.835187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-20T22:04:16.186810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-09-20T22:04:27.819665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
articulation_ratiodrum_note_ratioempty_beat_rateempty_measure_rategroove_consistencylength_measuresn_pitch_classes_usedn_pitches_usednotes_densityoffgrid_rate_16onset_density_var_measpitch_class_entropypitch_entropypitch_rangepitch_register_meanpolyphonypolyphony_ratesame_pitch_overlap_countscale_consistencytempo_changestempo_mean_bpmtempo_std_bpmtime_signature_changesvelocity_meanvelocity_p95_minus_p5velocity_std
articulation_ratio1.000-0.234-0.026-0.044-0.077-0.0540.0330.087-0.5270.112-0.3790.1930.192-0.0130.0410.4250.5060.128-0.0540.162-0.1520.1490.022-0.100-0.025-0.042
drum_note_ratio-0.2341.000-0.059-0.0300.1850.187-0.195-0.1970.270-0.1810.105-0.265-0.1870.029-0.238-0.044-0.091-0.0240.186-0.2400.232-0.205-0.1100.2010.0890.114
empty_beat_rate-0.026-0.0591.0000.863-0.214-0.1620.1140.1260.0220.1640.2010.0950.0880.1000.0900.1720.018-0.135-0.0730.112-0.0980.1280.058-0.1120.1490.117
empty_measure_rate-0.044-0.0300.8631.000-0.169-0.1350.0820.1050.0710.1130.2180.0680.0640.0930.0660.1900.062-0.129-0.0460.100-0.0980.1200.081-0.0980.1400.109
groove_consistency-0.0770.185-0.214-0.1691.0000.098-0.302-0.3370.051-0.721-0.137-0.264-0.267-0.202-0.190-0.257-0.155-0.0290.188-0.0880.234-0.066-0.0390.177-0.272-0.234
length_measures-0.0540.187-0.162-0.1350.0981.0000.0680.1100.337-0.0710.005-0.0730.0320.191-0.091-0.070-0.1190.0890.021-0.0910.536-0.063-0.0050.0580.0700.088
n_pitch_classes_used0.033-0.1950.1140.082-0.3020.0681.0000.7640.0120.2620.0600.6930.5760.2650.1630.1400.0670.050-0.7120.143-0.1210.1300.074-0.1200.1110.083
n_pitches_used0.087-0.1970.1260.105-0.3370.1100.7641.0000.0410.2580.1640.6920.7980.6380.2590.3330.1820.067-0.6500.165-0.1730.1510.094-0.1390.1850.159
notes_density-0.5270.2700.0220.0710.0510.3370.0120.0411.000-0.0450.622-0.198-0.1630.174-0.0950.1850.0160.0230.109-0.1980.442-0.164-0.0440.1150.1930.219
offgrid_rate_160.112-0.1810.1640.113-0.721-0.0710.2620.258-0.0451.0000.0230.2300.1960.1180.1230.1780.1420.013-0.1700.056-0.1090.051-0.009-0.1890.2080.170
onset_density_var_meas-0.3790.1050.2010.218-0.1370.0050.0600.1640.6220.0231.000-0.069-0.0180.259-0.0110.3170.0970.0550.0450.002-0.0620.0080.0440.0470.2300.239
pitch_class_entropy0.193-0.2650.0950.068-0.264-0.0730.6930.692-0.1980.230-0.0691.0000.7590.1920.2930.1820.1460.046-0.8480.191-0.2520.1750.084-0.1610.0570.029
pitch_entropy0.192-0.1870.0880.064-0.2670.0320.5760.798-0.1630.196-0.0180.7591.0000.4550.2840.2600.1310.056-0.6350.181-0.2040.1620.085-0.0980.0880.067
pitch_range-0.0130.0290.1000.093-0.2020.1910.2650.6380.1740.1180.2590.1920.4551.0000.2000.2970.1230.049-0.1680.030-0.0350.0280.031-0.0570.2440.236
pitch_register_mean0.041-0.2380.0900.066-0.190-0.0910.1630.259-0.0950.123-0.0110.2930.2840.2001.0000.1150.068-0.025-0.1500.135-0.1560.1180.010-0.1850.0590.039
polyphony0.425-0.0440.1720.190-0.257-0.0700.1400.3330.1850.1780.3170.1820.2600.2970.1151.0000.7900.085-0.0350.086-0.2500.0820.036-0.1050.2600.240
polyphony_rate0.506-0.0910.0180.062-0.155-0.1190.0670.1820.0160.1420.0970.1460.1310.1230.0680.7901.0000.0960.0270.099-0.3170.0970.024-0.1040.1280.112
same_pitch_overlap_count0.128-0.024-0.135-0.129-0.0290.0890.0500.0670.0230.0130.0550.0460.0560.049-0.0250.0850.0961.000-0.0210.051-0.0680.042-0.0060.0330.0270.032
scale_consistency-0.0540.186-0.073-0.0460.1880.021-0.712-0.6500.109-0.1700.045-0.848-0.635-0.168-0.150-0.0350.027-0.0211.000-0.1410.122-0.130-0.0750.090-0.025-0.008
tempo_changes0.162-0.2400.1120.100-0.088-0.0910.1430.165-0.1980.0560.0020.1910.1810.0300.1350.0860.0990.051-0.1411.000-0.3060.9540.199-0.095-0.005-0.022
tempo_mean_bpm-0.1520.232-0.098-0.0980.2340.536-0.121-0.1730.442-0.109-0.062-0.252-0.204-0.035-0.156-0.250-0.317-0.0680.122-0.3061.000-0.252-0.1240.150-0.0230.003
tempo_std_bpm0.149-0.2050.1280.120-0.066-0.0630.1300.151-0.1640.0510.0080.1750.1620.0280.1180.0820.0970.042-0.1300.954-0.2521.0000.186-0.077-0.010-0.025
time_signature_changes0.022-0.1100.0580.081-0.039-0.0050.0740.094-0.044-0.0090.0440.0840.0850.0310.0100.0360.024-0.006-0.0750.199-0.1240.1861.000-0.0500.007-0.004
velocity_mean-0.1000.201-0.112-0.0980.1770.058-0.120-0.1390.115-0.1890.047-0.161-0.098-0.057-0.185-0.105-0.1040.0330.090-0.0950.150-0.077-0.0501.000-0.365-0.295
velocity_p95_minus_p5-0.0250.0890.1490.140-0.2720.0700.1110.1850.1930.2080.2300.0570.0880.2440.0590.2600.1280.027-0.025-0.005-0.023-0.0100.007-0.3651.0000.951
velocity_std-0.0420.1140.1170.109-0.2340.0880.0830.1590.2190.1700.2390.0290.0670.2360.0390.2400.1120.032-0.008-0.0220.003-0.025-0.004-0.2950.9511.000

Missing values

2025-09-20T22:04:18.619988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-09-20T22:04:18.977566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-09-20T22:04:19.209911image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

pathpolyphonypolyphony_ratenotes_densityempty_beat_rateempty_measure_rategroove_consistencyn_pitch_classes_usedn_pitches_usedpitch_class_entropypitch_entropypitch_rangescale_consistencysame_pitch_overlap_counttime_signature_changesparsable_nonemptytempo_mean_bpmtempo_std_bpmtempo_changesoffgrid_rate_16onset_density_var_measvelocity_meanvelocity_stdvelocity_p95_minus_p5articulation_ratiodrum_note_ratiopitch_register_meanlength_measures
0data\lmd_matched\L\Z\W\TRLZWCX128F145AA1D\ab7ab1af34eee345a1b10cc05511aade.mid3.4080060.6403293.2713000.0227270.0000000.90071612373.0447534.653408480.93873100161.05471814.0380811270.55579922.79522588.75930013.72817740.00.8849380.00000061.96280133
1data\lmd_matched\Z\E\Z\TRZEZJQ128F148A16C\126e07424cdd7d80897d53025c69d50e.mid3.4211090.67639523.1403330.0072330.0071940.9858097362.6174634.149508651.000000001138.0001930.00000000.277798199.09124878.98292931.877727105.00.5763840.27744048.745670139
2data\lmd_matched\C\Z\R\TRCZRSP12903D000ED\9d67f17e1edb1cf6632a3ad237b54fc3.mid4.1213390.6903772.9827550.0000000.0000000.9853469332.9819464.601312480.90000000183.4666555.004886140.00000017.73333350.73750017.09013641.02.3020830.00000059.90625060
3data\lmd_matched\W\H\C\TRWHCTE128F92F9098\944ffadab173149ac284c43280b5c7f9.mid6.3435360.96075616.1487970.0175440.0175440.98790910362.8260414.390613500.98124301190.0034650.00000000.025348102.00984956.44783111.30701938.00.8548820.30253560.25615557
4data\lmd_matched\S\F\S\TRSFSEN12903CB466B\b1c29d073fc61775668e4b08969450f1.mid2.9193580.44635715.5675160.0034360.0000000.94913812783.1520815.533689820.87016500187.86673516.516134140.02259716.91110088.09881314.24298847.00.2784530.00000064.674071146
5data\lmd_matched\A\D\N\TRADNFJ128F92FFA5A\2bdf04253e981eb1a30b9df7beec30e1.mid4.3739190.90531810.0643920.0000000.0000000.90321210312.8526354.361776410.961696260175.0489952.888335990.52188851.27946775.10465113.44973444.00.8201380.00000057.64432349
6data\lmd_matched\J\M\U\TRJMUFE128F4271BA7\9995e2c208cd5d8b8c5bba658bc197bf.mid6.4768040.97554035.4382600.0161290.0161290.67022412473.3807194.510901610.77460010182.0023890.00000000.247137365.27757578.22630022.726226100.00.3527870.31275164.989417124
7data\lmd_matched\U\K\E\TRUKEIZ128EF34B6C4\26e82b06f7d58898ae263f4c9f333e00.mid3.9774540.86502726.4374480.0117300.0116280.88002510432.5090644.206810670.953084011110.0001100.00000000.276782300.66576588.54975414.37361943.00.3936860.46171157.57018586
8data\lmd_matched\P\H\B\TRPHBMS128EF351F1E\514ddc3d4b33205be7d8ec149fdc1e32.mid4.8688400.73645922.4769600.0091740.0091740.83989212352.8131864.031737600.978121801130.0001300.00000000.421076534.466627113.04483516.43221649.00.5885540.38277661.162482109
9data\lmd_matched\N\D\C\TRNDCHA128F149C1E3\2c77d351ced6bce2fea61eb5596b3084.mid5.0223360.90673814.4330670.0000000.0000000.8813488292.7120284.196525480.99421511175.9999700.00000000.22043286.969467127.0000000.0000000.00.9320220.52588360.07375365
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4935data\lmd_matched\N\T\V\TRNTVGG128F9335943\f4ac519e245ad8224f607dace5d17e6f.mid1.6341790.0417759.5892170.0052080.0000000.98869712503.3574185.078513720.813234001121.6046479.9522406930.00000025.62456647.70864514.66376847.00.3265740.00000066.92956248
4936data\lmd_matched\V\P\J\TRVPJOU12903D0736E\b7ed7f8ced3e2cfd6eacc785d1d9c529.mid5.4049410.86237429.4263280.0072290.0000000.8967449362.9026224.644014580.9513291812193.9999810.00000000.619488378.10345897.56356121.82476273.00.3932540.59853560.923791104
4937data\lmd_matched\J\E\F\TRJEFPJ128E0784869\d52ecdc2866afcca28a29d253d2ded9f.mid6.0438280.95800531.0427060.0078590.0078120.9745739402.4249913.445140670.987947001124.0002480.00000000.540642760.20599468.60671219.53361758.00.5202020.29860861.664009128
4938data\lmd_matched\Q\J\I\TRQJIXA128F428DFCF\b3abafccb272cd07fdf53a16ab7b9b10.mid3.4484140.7365919.1871150.0000000.0000000.9855947272.7052864.119627461.00000020173.5000168.64581630.00000051.67268781.22633717.82684859.00.7144610.52221857.58353995
4939data\lmd_matched\B\M\D\TRBMDPW128E078A7EE\24297fe5bace6dccd5bfbbf9a23e7044.mid7.5315750.96695719.2377520.0162600.0107530.94814311412.5119934.200838550.98501974196.0000000.00000000.125367188.39010382.65569819.44571656.00.8252010.15563648.08079293
4940data\lmd_matched\S\A\M\TRSAMZF128F4243C77\9cb3c6890d8ad7aa9fce6fbbac06e01f.mid4.4554280.94748913.5868920.0136520.0135140.9529118262.7374474.273263390.98312100198.0001440.00000000.07286970.33400369.03375914.86684750.00.6780570.00000058.69740674
4941data\lmd_matched\A\J\F\TRAJFBN128F930527C\2df0e148368eae5e88f2439ffca4f06f.mid3.7776860.60285525.0471920.0000000.0000000.9853838372.5708454.215106650.981536001122.9999690.00000000.004090299.24518489.19940915.04317248.00.4257610.55693758.258493125
4942data\lmd_matched\W\X\N\TRWXNMY128F93144E3\dacd7b388104a734e09c5584d34008cb.mid5.1371020.8020539.2985500.0117190.0000000.81845212593.2025975.127285620.87464400158.86319017.421492940.244673444.18750071.13497213.77776736.00.5744550.00284162.35042764
4943data\lmd_matched\X\X\W\TRXXWFP128F92C92B0\d63d1de7f86a88202590d2d8c6903b95.mid2.8248210.4224276.4301860.0187270.0000000.82417910412.9348934.659878600.961203001100.0000000.00000000.80989318.92403793.89718715.82767050.00.5252590.00000059.74296867
4944data\lmd_matched\Z\Z\L\TRZZLNL128F424316A\fe96bf5ed3bd8851b69ddc80fbd96d0d.mid2.9298310.54822814.4687840.0227270.0090910.9487779282.6182123.896889550.998462180187.0006530.00000000.036919258.915372115.43446213.46188437.00.3885030.25934457.394462110